Bucketizes 'input' based on 'boundaries'.
For example, if the inputs are boundaries = [0, 10, 100] input = [[-5, 10000] [150, 10] [5, 100]]
then the output will be output = [[0, 3] [3, 2] [1, 3]]
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<TInt32> |
asOutput()
Returns the symbolic handle of the tensor.
|
static Bucketize | |
Output<TInt32> |
output()
Same shape with 'input', each value of input replaced with bucket index.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TInt32> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static Bucketize create (Scope scope, Operand<? extends TNumber> input, List<Float> boundaries)
Factory method to create a class wrapping a new Bucketize operation.
Parameters
scope | current scope |
---|---|
input | Any shape of Tensor contains with int or float type. |
boundaries | A sorted list of floats gives the boundary of the buckets. |
Returns
- a new instance of Bucketize